Real-Time Power Management for Microgrids With Dynamic Boundaries and Multiple Source Locations

Journal Article · Sat Jan 01 00:00:00 EST 2022 · IEEE Access

DOI:https://doi.org/10.1109/ACCESS.2022.3197601· OSTI ID:1880408

Zhang, Chengwen  ^[1]; Su, Yu  ^[1]; Li, Dingrui  ^[1]; Zhu, Lin ^[1]; Yin, He  ^[1]; Ma, Yiwei ^[2]; Ray, Ishita  ^[1]; Wang, Fred  ^[1]; Tolbert, Leon M.  ^[1]; Liu, Yilu  ^[1]

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1. Min H. Kao Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN, USA
2. Electric Power Research Institute, Knoxville, TN, USA

The dynamic boundary concept enables more flexible and efficient operation of microgrids with distributed energy resources (DER) that are intermittent in nature. As the integration of renewables continues to accelerate, an adaptive power management module that enables dynamic boundary operations in microgrids with an increasing number of source locations is essential for the fast and low-cost deployment of microgrid controllers. The power management module introduced in this paper is capable of handling the increased complexity in topological variations and transitions stemming from dynamic boundaries and multiple source locations. This includes real-time operation of multiple islands with dynamic boundaries, initiation of topological transitions (merging and separation of islands), and automatic source coordination for power sharing and frequency regulation. All functions in the power management module are designed to be automatically adaptable to arbitrary microgrids with non-meshed topologies so that the deployment of the controller at new microgrid sites can be expedited with a reduced cost. The module has been implemented on NI’s CompactRIO system as an essential part of an MG controller and tested on a converter-based hardware testbed (HTB). Testing results validated the effectiveness of the algorithms under various operating conditions.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE Advanced Research Projects Agency - Energy (ARPA-E); National Science Foundation (NSF)
• Grant/Contract Number: AR0000665; AC05-00OR22725; EEC-1041877
• OSTI ID: 1880408
• Alternate ID(s): OSTI ID: 1881558; OSTI ID: 1959585
• Journal Information: IEEE Access, Journal Name: IEEE Access Vol. 10; ISSN 2169-3536
• Publisher: Institute of Electrical and Electronics Engineers
• Country of Publication: United States
• Language: English

Related Subjects

42 ENGINEERING
Microgrids
Power system management
Topology
Real-time systems
Position measurement
Heuristic algorithms